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Designing a neuro-symbolic dual-model architecture for explainable and resilient intrusion detection in IoT networks.

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第一作者： Ahmad,Almadhor

第一单位： Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. aaalmadhor@ju.edu.sa.

作者： Ahmad,Almadhor ^[1] ; Shtwai,Alsubai ^[2] ; Abdullah Al,Hejaili ^[3] ; Zeineb,Klai ^[4] ; Belgacem,Bouallegue ^[5] ; Urban,Kovac ^[6]

作者单位： Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. aaalmadhor@ju.edu.sa. ^[1] College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, AlKharj, 16273, Saudi Arabia. ^[2] Faculty of Computers & Information Technology, Computer Science Department, University of Tabuk, Tabuk, 71491, Saudi Arabia. ^[3] Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Arar, Kingdom of Saudi Arabia. Zeineb.klai@nbu.edu.sa. ^[4] Department of Computer Engineering, College of Computer Science, King Khalid University, ABHA, 61421, Saudi Arabia. ^[5] Faculty of Management, Comenius University Bratislava, Odbojárov 10, 25, Bratislava, 82005, Slovakia. ^[6]

关键词 Cyberattack classification Explainable AI (XAI)Intrusion detection system (IDS)IoT security LIME Neuro-symbolic AI SHAP Smart home simulation

DOI 10.1038/s41598-025-27076-9

PMID 41315644

发布时间 2025-12-01

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